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Merge pull request #5491 from explosion/chore/rename-pipe-analysis

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Ines Montani 2020-05-23 12:41:54 +02:00 committed by GitHub
commit 15d3a0ac3a
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3 changed files with 23 additions and 12 deletions
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23
spacy/language.py
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@ -17,8 +17,8 @@ from .tokens.underscore import Underscore
from .vocab import Vocab from .vocab import Vocab
from .lemmatizer import Lemmatizer from .lemmatizer import Lemmatizer
from .lookups import Lookups from .lookups import Lookups
from .analysis import analyze_pipes, analyze_all_pipes, validate_attrs from .pipe_analysis import analyze_pipes, analyze_all_pipes, validate_attrs
from .analysis import count_pipeline_interdependencies from .pipe_analysis import count_pipeline_interdependencies
from .gold import Example from .gold import Example
from .scorer import Scorer from .scorer import Scorer
from .util import link_vectors_to_models, create_default_optimizer, registry from .util import link_vectors_to_models, create_default_optimizer, registry
@ -318,14 +318,18 @@ class Language(object):
# check whether we have a proper model config, or load a default one # check whether we have a proper model config, or load a default one
if "model" in factory_cfg and not isinstance(factory_cfg["model"], dict): if "model" in factory_cfg and not isinstance(factory_cfg["model"], dict):
warnings.warn(Warnings.W099.format(type=type(factory_cfg["model"]), pipe=name)) warnings.warn(
Warnings.W099.format(type=type(factory_cfg["model"]), pipe=name)
)
# refer to the model configuration in the cfg settings for this component # refer to the model configuration in the cfg settings for this component
if "model" in factory_cfg: if "model" in factory_cfg:
self.config[name] = {"model": factory_cfg["model"]} self.config[name] = {"model": factory_cfg["model"]}
# create all objects in the config # create all objects in the config
factory_cfg = registry.make_from_config({"config": factory_cfg}, validate=True)["config"] factory_cfg = registry.make_from_config({"config": factory_cfg}, validate=True)[
"config"
]
model = factory_cfg.get("model", None) model = factory_cfg.get("model", None)
if model is not None: if model is not None:
del factory_cfg["model"] del factory_cfg["model"]
@ -519,7 +523,16 @@ class Language(object):
def make_doc(self, text): def make_doc(self, text):
return self.tokenizer(text) return self.tokenizer(text)
def update(self, examples, dummy=None, *, drop=0.0, sgd=None, losses=None, component_cfg=None): def update(
self,
examples,
dummy=None,
*,
drop=0.0,
sgd=None,
losses=None,
component_cfg=None,
):
"""Update the models in the pipeline. """Update the models in the pipeline.
examples (iterable): A batch of `Example` or `Doc` objects. examples (iterable): A batch of `Example` or `Doc` objects.

4
spacy/analysis.py → spacy/pipe_analysis.py
View File

@ -187,10 +187,8 @@ def count_pipeline_interdependencies(pipeline):
counts = [] counts = []
for i, assigns in enumerate(pipe_assigns): for i, assigns in enumerate(pipe_assigns):
count = 0 count = 0
for requires in pipe_requires[i+1:]: for requires in pipe_requires[i + 1 :]:
if assigns.intersection(requires): if assigns.intersection(requires):
count += 1 count += 1
counts.append(count) counts.append(count)
return counts return counts

6
spacy/tests/pipeline/test_analysis.py
View File

@ -1,8 +1,8 @@
import spacy.language import spacy.language
from spacy.language import Language, component from spacy.language import Language, component
from spacy.analysis import print_summary, validate_attrs from spacy.pipe_analysis import print_summary, validate_attrs
from spacy.analysis import get_assigns_for_attr, get_requires_for_attr from spacy.pipe_analysis import get_assigns_for_attr, get_requires_for_attr
from spacy.analysis import count_pipeline_interdependencies from spacy.pipe_analysis import count_pipeline_interdependencies
from mock import Mock, ANY from mock import Mock, ANY
import pytest import pytest